ABSTRACT
SARS-CoV-2 is the name of the highly infectious Coronavirus that brought the disease to the world. Preventing Covid by keeping the partition among people since it is not possible to get relatable information of an individual about its contamination. The WHO considers 6-ft to be a safe separation for individuals who take all other necessary precautions (masks, sanitizing, etc.)[1]. The undertaking targets utilizing Artificial Insight to implement this social separation openly put by continually checking the separation between individuals shown in a video feed, also alarming the dependable individual to initiate the required moves. This video feed can be used without any problem gathered by the prior framework across the general population places like CCTV Cameras. This would enable us to continually observe the separation between any two people in a public place. The adaptability is exceptionally arranged highly, so that cameras are introduced at practically on every open spots[2]. © 2022 IEEE.
ABSTRACT
Background: Patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) infection and a diagnosis of cancer are at high risk of severe symptomatic disease (COVID-19) and death. We performed a systematic review and meta-analysis of published studies, to estimate the case-fatality rate (CFR) of patients with solid or hematological tumors and SARS-CoV-2 infection. Methods: A systematic search of PubMed library up to 31 January, 2021, was performed in order to identify publications reporting the CFR among adult patients with solid or hematological tumors and SARS-CoV-2 infection. CFR was defined as the rate of deaths among SARS-CoV-2-positive cancer patients. Moreover, we separately assessed the CFR among patients with lung and breast cancer. Studies with at least 10 patients were included. The CFR was assessed through a random effect model, and 95% confidence intervals (CI) were calculated. The Higgins I2 index was computed to assess the heterogeneity between studies. Results: The systematic search of the literaturereturned 1,727studies. 1,551 were excluded on the basis of the title, 29 based on the abstract, and 3 were duplicates. A total of 144 studies were selected, including 35,725 patients with solid or hematological tumors and SARS-CoV-2 infection. In total, 46 and 32 studies reported the CFR among COVID-19 patients with lung (total N = 1,555) and breast (total N = 1.398) cancer, respectively. Overall, the CFR was 25.5% (95% CI 23.1%-28.1%, Egger test p < 0.001). A sensitivity analysis, after excluding studies with less than 100 patients, showed a CFR of 22.1% (95% CI 19.4%-25.2%). The CFR among patients with lung cancer and SARSCoV2 infection was 33.4% (95% CI 28.1%-39.6%) when including all studies and 26.3% (95% CI 17.6%-39.2%) at the sensitivity analysis after excluding studies with less than 100 patients. The CFR among patients with breast cancer and SARS-CoV2 infection was 13.7% (95% CI 9.1%-20.7%) when including all studies and 13.0% (95% CI 7.6%-22.1%) at the sensitivity analysis after excluding studies with less than 100 patients. Conclusions: One year after the outbreak of the pandemic, this large metaanalysis reports the impact of SARS-CoV-2 infection in patients with cancer. This population experienced a high probability of mortality, with a comparatively higher CFR in patients with lung cancer, and a comparatively lower CFR in patients with breast cancer. Patients with an underlying diagnosis of cancer require special attention with aggressive preventive measures that also include early access to COVID-19 vaccination.